* We are looking for a skilled and passionate Engineering Manager to join our Billing & Monetization Team in the New York City office
* Working in a bootstrapped and profitable scaleup, you'll have the unique opportunity to lead the team that powers how our agentic AI products are metered, priced, and billed, building the systems that turn AI usage into reliable, transparent revenue for a fast-growing category-defining company
* Lead an engineering team through outcomes, not tasks; set clear goals with the team and trust them to figure out how
* Make the team measurably better; raise the engineering bar, grow engineers into bigger problems, and address performance issues directly when they arise
* Drive a step change in what the team can do with AI; not just shipping faster, but tackling harder problems, raising quality, and expanding what the team can credibly own
* Lead the team responsible for building the credit, metering, and billing systems that power monetization across our agentic AI products, from usage tracking and credit consumption to invoicing and revenue reporting
* Own the technical direction and architecture of the billing and monetization platform, ensuring metering is accurate, billing is reliable, and the systems are observable, secure, and auditable
* Guide the team in designing and scaling systems that meter AI and agent usage in real time, enforce credit limits and entitlements, and integrate with pricing, payments, and financial systems
* Partner closely with Product, Finance, and other Engineering teams to shape pricing and packaging, and translate monetization strategy into robust technical implementation
* Make the architectural and technical calls that shape the team's systems, and stay close enough to the code to do so credibly
* Lead the adoption of AI-assisted engineering practices, including AI coding tools and agentic coding harnesses, and set the bar for how the team uses them to drive outcomes; contribute to how DataSnipper leverages AI across the broader engineering organization
* Help shape the team's scope as it evolves, including expanding ownership areas and standing up new teams when needed
* Foster a culture of experimentation, learning, documentation, and operational excellence
